Triple
T4556458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live and Learn |
E120490
|
entity |
| Predicate | airedAs |
P58015
|
FINISHED |
| Object | two-hour series premiere event |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: two-hour series premiere event | Statement: [Live and Learn, airedAs, two-hour series premiere event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airedAs Context triple: [Live and Learn, airedAs, two-hour series premiere event]
-
A.
airedIn
Indicates that a media work was broadcast or shown during a specific time period or in a particular airing context.
-
B.
airedOn
Indicates that a broadcasted program or episode was shown on a specific channel, platform, or medium.
-
C.
airedOnDay
Indicates that an event or program was broadcast on a specific day.
-
D.
givenAs
Indicates that something is provided, presented, or assigned to a recipient in a specified role, form, or capacity.
-
E.
protectedAs
Indicates that one entity is safeguarded, preserved, or kept safe by another entity or under a specified protective status or mechanism.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5814f56c8190a65f61f6148b7e5a |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:09 p.m.